Hamming Distance Method with Subjective and Objective Weights for Personnel Selection

Saad, Rasyida Md; Ahmad, Muhammad Zaini; Abu, Masyitah; Jusoh, Muhammad Shahar

doi:10.1155/2014/865495

Cited by 47 publications

(24 citation statements)

References 29 publications

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“…Yu et al (Yu et al, 2013) investigated aggregation methods for personnel evaluation. Md Saad et al (Md Saad et al, 2014) proposed a new approach which is based on Hamming distance method with subjective and objective weights (HDMSOW's) for personnel selection problem. Aggarwal (Aggarwal, 2014) defined a method using fuzzy multi-attribute decision making for personnel selection.…”

Section: Literature Revıewmentioning

confidence: 99%

Personnel Selection for Promotion using an Integrated Consistent Fuzzy Preference Relations - Fuzzy Analytic Hierarchy Process Methodology: A Real Case Study

Özdemi̇r

Nalbant

2020

Asian J. Interdiscip. Res.

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Personnel selection is an important business process for companies. Training, experience information and personal characteristics are important qualities for employee to be recruited. The most accurate result of the personnel selection is obtained from the qualified personnel by determining the personnel who is most suitable for the job requirements. The basic idea of personnel selection is to choose the best candidate for a job. Personnel selection is crucial in human resources management. A solution to the Multi Criteria Decision Making (MCDM) problem is Personnel selection. The main goal of this paper is to find the best personnel using the integrated Consistent Fuzzy Preference Relations (CFPR) and Fuzzy Analytic Hierarchy Process (FAHP) methodology. CFPR is used to obtain the importance weight of personnel selection criteria (22 sub-criteria are categorized under 5 main criteria). Then, the importance weights of personnel selection criteria are integrated with a FAHP model to prioritize the personnel alternatives. For a case study in Turkey, the ranking of the alternatives (17) is calculated using the integrated CFPR-FAHP model, and the best personnel is selected for promotion. This methodology makes it easier for managers/human resources department to decide on recruitment and personnel promotion. The proposed methodology provides the consistent results owing to the integrated methods. The main contribution in this study is the reduction of judgments for a preference matrix using the proposed methodology. To the authors' knowledge, this study will be the first to integrate CFPR and FAHP methods for personnel selection.

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Section: Literature Revıewmentioning

confidence: 99%

Personnel Selection for Promotion using an Integrated Consistent Fuzzy Preference Relations - Fuzzy Analytic Hierarchy Process Methodology: A Real Case Study

Özdemi̇r

Nalbant

2020

Asian J. Interdiscip. Res.

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“…The concept has a dominant role in information theory [25]. According to Saad et al [26], Shannon's entropy concept is 'appropriate for calculating the relative contrast intensities of criteria to represent the average intrinsic information transmitted to the decision maker'. The Shannon's entropy method which was extended by Lotfi & Fallahnejad [27] for imprecise data, especially for interval and fuzzy data case, has found application in several fields of studies including, management, engineering, information sciences, agricultural sciences etc.…”

Section: Fuzzy Shannon's Entropymentioning

confidence: 99%

Application of Intuitionistic Fuzzy Topsis Model for Troubleshooting an Offshore Patrol Boat Engine

Aikhuele

Sorooshian

Ansah

et al. 2017

Polish Maritime Research

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In this paper, an Intuitionistic Fuzzy TOPSIS model which is based on a score function is proposed for detecting the root cause of failure in an Offshore Boat engine, using groups of expert's opinions. The study which has provided an alternative approach for failure mode identification and analysis in machines, addresses the machine component interaction failures which is a limitation in existing methods. The results from the study show that although early detection of failures in engines is quite difficult to identify due to the dependency of their systems from each other. However, with the Intuitionistic Fuzzy TOPSIS model which is based on an improved score function such faults/failuresare easily detected using expert's based opinions.

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“…The concept is said to have a dominant role in the information theory [23]. According to Saad et al, [24], Shannon's entropy concept is 'appropriate for calculating the relative contrast intensities of criteria to represent the average intrinsic information transmitted to the decision maker'.…”

Section: Fuzzy Shannon's Entropymentioning

confidence: 99%

“…In computing criteria weight using the fuzzy Shannon's entropy weight method in this study, first, a decision matrix is formed for the criteria to express the level of importance of each of the criterion using linguistic variables, and are later converted to the interval-valued intuitionistic fuzzy values and then to crisp value, the procedure are explained in the steps below [24].…”

Section: Fuzzy Shannon's Entropymentioning

confidence: 99%

An Improved Methodology for Multi-Criteria Evaluations in the Shipping Industry

Aikhuele

Turan

2016

Brod

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SummaryThis paper presents a reliable, easy and more objective approach for ranking and determining preference in a multi-criteria decision-making problem within the shipping industry. Through the integration of the improved score function, fuzzy Shannon's entropy method and the interval-valued intuitionistic fuzzy M-TOPSIS method, for ranking and for representing the aggregated effect of positive and negative evaluations in the performance ratings of the alternatives based on interval-valued intuitionistic fuzzy set (IVIFS) data. The integration of the improved score function, fuzzy Shannon's entropy method and the intervalvalued intuitionistic fuzzy M-TOPSIS method in this paper has provided a whole new approach for solving multi-criteria decision-making problems. The improved score function which is applied to the calculation of the separation measures of each alternative from the positive and negative ideal solutions. Reflect and model the fuzziness and hesitation of the decision-maker subjective assessment, while the fuzzy Shannon's entropy method is been used for calculating the criteria weight. The proposed method has successfully been applied to rank and determined the most appropriate shipping partner for a shipping company located in Malaysia, and for a modified hypothetical example which is based on the selection of a preferred Ship as a reference for a new design. The model has been compared with existing model and we can conclude, it provides a better alternative method for ranking and for the determination of preference in a multi-criteria decision-making problem.

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Hamming Distance Method with Subjective and Objective Weights for Personnel Selection

Cited by 47 publications

References 29 publications

Personnel Selection for Promotion using an Integrated Consistent Fuzzy Preference Relations - Fuzzy Analytic Hierarchy Process Methodology: A Real Case Study

Personnel Selection for Promotion using an Integrated Consistent Fuzzy Preference Relations - Fuzzy Analytic Hierarchy Process Methodology: A Real Case Study

Application of Intuitionistic Fuzzy Topsis Model for Troubleshooting an Offshore Patrol Boat Engine

An Improved Methodology for Multi-Criteria Evaluations in the Shipping Industry

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